CN117081965A - Intranet application load on-line monitoring system - Google Patents
Intranet application load on-line monitoring system Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H04L43/00—Arrangements for monitoring or testing data switching networks
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- H—ELECTRICITY
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- H04L43/00—Arrangements for monitoring or testing data switching networks
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Abstract
The invention relates to the technical field of data processing, in particular to an intranet application load on-line monitoring system, which comprises: acquiring response time data of a plurality of monitoring moments and user figures of each monitoring moment; acquiring the change degree of response time data per se at each monitoring moment; acquiring the first time according to the response time data of each monitoring moment, the integral real change quantity of the number of the users, the response time data of each monitoring moment, the correlation of the number of the users and the stability of the influence time change degree of the data of each monitoring momentThe response time instability degree of each monitoring moment; according to each ofAnd monitoring the intranet application load at each monitoring moment by the response time instability degree at each monitoring moment. The invention can distinguish the influence caused by the network delay factor and the intranet application load abnormality factor, and finally achieves the aim of detecting the intranet application load abnormality.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intranet application load on-line monitoring system.
Background
In the intranet environment of enterprises and organizations, complex application systems and network architectures exist, and the real-time monitoring and management demands on application loads are increasing; intranet application loads typically involve multiple application services, databases, network devices, etc., and are limited by the isolation of the intranet, and cannot directly access external cloud services or public network resources. In on-line monitoring of intranet application load, application performance monitoring tools are generally used for monitoring application response time, and the tools focus on monitoring and analyzing performance indexes of an application in real time so as to evaluate the load condition of the application in an intranet.
The prior art can only monitor and analyze abnormal data points in a general way when monitoring the intranet application load, and when the application response time is utilized to reflect the detection condition of the intranet application load, the influence of the network delay on the application response time is similar to the influence of the intranet application load abnormality in visual representation, and the prior art cannot monitor and analyze more accurate abnormal data.
Disclosure of Invention
The invention provides an intranet application load on-line monitoring system, which aims to solve the existing problems.
The invention discloses an intranet application load on-line monitoring system, which adopts the following technical scheme:
the method comprises the following modules:
the data acquisition module is used for acquiring response time data of a plurality of monitoring moments and user figures of each monitoring moment;
the data characteristic acquisition module is used for acquiring the change degree of the response time data per se of each monitoring moment according to the response time data of a plurality of monitoring moments;
the data characteristic analysis module is used for acquiring the response time data and the correlation of the number of users at each monitoring moment according to the response time data at each monitoring moment and the number of users at each monitoring moment; acquiring a weighting factor of each monitoring moment according to the change degree of the response time data of each monitoring moment; acquiring response time data of each monitoring moment and the overall real variation of the number of users according to the weighting factors of each monitoring moment and the correlation of the response time data of each monitoring moment and the number of users; acquiring a response time data function curve of each monitoring moment; acquiring a response time data stability factor of each monitoring moment according to the response time data function curve of each monitoring moment; acquiring stability of the data influence time change degree of each monitoring moment according to the response time data stability factor of each monitoring moment; acquiring the unstable degree of the response time of each monitoring moment according to the response time data of each monitoring moment, the integral real variation of the number of users, the correlation of the response time data of each monitoring moment and the number of users and the stability of the influence time variation degree of the data of each monitoring moment;
and the data monitoring result module is used for monitoring the intranet application load at each monitoring moment according to the response time instability degree at each monitoring moment.
Preferably, the specific formula for obtaining the change degree of the response time data of each monitoring time according to the response time data of a plurality of monitoring times is as follows:
in the method, in the process of the invention,indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />The total number of response time data representing all monitoring moments; />The representation takes absolute value.
Preferably, the specific formula for obtaining the correlation between the response time data and the number of users at each monitoring time according to the response time data at each monitoring time and the number of users at each monitoring time is as follows:
in the method, in the process of the invention,indicate->Response time data and user number correlation at each monitoring time; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->User number values at each monitoring time; />Indicate->User number values at each monitoring time; />The representation takes absolute value.
Preferably, the method for obtaining the weighting factor of each monitoring time according to the change degree of the response time data of each monitoring time includes the following specific steps:
will be the firstReciprocal and +.sup.th of the degree of change of the response time data itself at the monitoring instant>The sum of the inverse of the degree of change of the response time data itself at the individual monitoring instants is taken as +.>The weighting factors of the monitoring moments.
Preferably, the specific formula for obtaining the response time data and the overall real change amount of the number of users at each monitoring time according to the weighting factor at each monitoring time and the correlation between the response time data and the number of users at each monitoring time is as follows:
in the method, in the process of the invention,indicate->Response time data of each monitoring moment and overall real variation of the number of users; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data and user number correlation at each monitoring time; />The representation takes absolute value; />Indicate->The weighting factors of the monitoring moments.
Preferably, the method for obtaining the response time data function curve of each monitoring moment includes the following specific steps:
for the firstMonitoring time according to->Response time data of all monitoring moments before the individual monitoring moment, build +.>The independent variables are monitoring moments, and the function values are response time data corresponding to each monitoring moment; and similarly, acquiring a response time data function curve of each monitoring moment.
Preferably, the method for obtaining the response time data stability factor of each monitoring time according to the response time data function curve of each monitoring time includes the following specific steps:
will be the firstThe number of extreme points of the response time data function curve at the individual monitoring instants is the +.>Response time data stabilization factors for each monitoring moment; and similarly, acquiring a response time data stability factor of each monitoring moment.
Preferably, the specific formula for obtaining the stability of the data influence time variation degree of each monitoring moment according to the response time data stability factor of each monitoring moment is as follows:
in the method, in the process of the invention,indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data stabilization factors for each monitoring moment; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->A sequence number of the data point; />The representation takes absolute value; />Representing a linear normalization function.
Preferably, the specific formula for obtaining the unstable degree of the response time at each monitoring moment according to the response time data at each monitoring moment, the overall real change amount of the number of users, the correlation between the response time data at each monitoring moment and the number of users, and the stability of the time change degree affected by the data at each monitoring moment is as follows:
in the method, in the process of the invention,indicate->The response time instability degree of each monitoring moment; />Indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data and user number correlation at each monitoring time;representing a linear normalization function.
Preferably, the monitoring of the intranet application load at each monitoring time according to the response time instability degree at each monitoring time includes the following specific steps:
for any monitoring time, if the response time of the monitoring time is unstableGreater than or equal to a preset thresholdThe intranet application load condition at the monitoring moment is abnormal; if the degree of response time instability at the monitoring moment is less than a preset threshold +.>And if the intranet application load condition at the monitoring moment is not abnormal.
The technical scheme of the invention has the beneficial effects that: aiming at the problems that when the application response time is utilized to reflect the detection condition of the intranet application load, the influence of the network delay on the application response time is similar to the influence of the intranet application load abnormality in visual expression, and the technology in the prior art cannot monitor and analyze more accurate abnormal data; according to the invention, the response time is monitored, the instability degree of the application response time is obtained by utilizing the change characteristic of the application response time and the correlation analysis of the application response time and the change of the number of users, and the influence caused by the network delay factor and the intranet application load abnormality factor can be distinguished by the index, so that the purpose of detecting the intranet application load abnormality is finally achieved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of an intranet application load on-line monitoring system according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to the specific implementation, structure, characteristics and effects of an intranet application load on-line monitoring system according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a specific scheme of an intranet application load on-line monitoring system, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a block diagram of an intranet application load online monitoring system according to an embodiment of the present invention is shown, where the system includes the following modules:
the data acquisition module 101 is configured to acquire response time data of a plurality of monitoring moments and a user number value of each monitoring moment.
When the intranet application load is monitored online, the application response time is monitored, and the distribution of data points affected by network delay is similar to the distribution of data points of the application response time under normal conditions. Therefore, in this scenario, the embodiment needs to eliminate the interference of the data points affected by the network delay to the monitoring system, so as to complete the online monitoring of the application load of the intranet.
Because the application load condition of the intranet needs to be monitored online, a monitoring index needs to be determined as a reference standard. The response time of the intranet application is detected, and the number of users in the same time period is monitored; wherein the APM tool can monitor the performance of the application and provide detailed performance metrics and data. They typically have real-time monitoring, transaction tracking, error analysis, resource utilization, etc. functions that can help identify potential performance problems and bottlenecks in the application and provide data about the application response time.
In order to realize the intranet application load online monitoring system provided by the embodiment, firstly, response time data of a plurality of monitoring moments and user numerical values of each monitoring moment need to be collected, and the specific process is as follows:
selecting a monitoring agent tool APM, and installing the selected monitoring agent on each application server; after the installation is completed, the configuration of the monitoring agent is carried out; after the configuration is completed, starting a monitoring proxy service; and sending the data and the indexes of the collected application server to a designated monitoring platform, so as to obtain response time data of a plurality of monitoring moments and user figures of each monitoring moment.
So far, the response time data of a plurality of monitoring moments and the user personal value of each monitoring moment are obtained through the method.
The data feature acquisition module 102 is configured to acquire a degree of change of the response time data per se at each monitoring time.
It should be noted that, on-line monitoring of excessive load of intranet application is mainly implemented by constructing a model through the change characteristics of response time to perform analysis and calculation. First, it is necessary to preliminarily express whether the response time itself is abnormal according to the degree of variation thereof over a period of time. The greater the degree of change in response time at each adjacent monitoring time, the greater the likelihood of the intranet application being overloaded.
The change degree of the response time data of each monitoring moment on the time sequence can be obtained by comparing the change amount of each monitoring moment with the average value of the change amount of the response time data of each adjacent monitoring moment before the last monitoring moment by utilizing the response time data of each monitoring moment compared with the change amount of the last monitoring moment, namely utilizing the absolute value of the difference value of the response time data of each monitoring moment and the average value of the change amount of the response time data of each adjacent monitoring moment before the last monitoring moment to be compared.
Specifically, the firstThe calculation expression of the degree of change of the response time data per se at each monitoring time is:
in the method, in the process of the invention,indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />The total number of response time data representing all monitoring moments; />The representation takes absolute value.
The larger the change amount of the response time data of the current monitoring time is compared with the response time data of the last monitoring time, the larger the change degree of the response time data of the monitoring time on the time sequence is, which means that the larger the possibility of the occurrence of the overlarge application load of the intranet at the monitoring time is.
So far, the change degree of the response time data per se at each monitoring moment is obtained through the method.
A data characteristic analysis module 103 for changing the response time data and the overall real change of the user number at each monitoring time, the correlation of the response time data and the user number at each monitoring time and the data influence time at each monitoring timeStability of degree of conversion, obtainThe degree of response time instability at each monitoring instant.
By the above method, the degree of change of the response time data per se at each monitoring time is obtained, which can only preliminarily express abnormality of the response time. However, the effect of network delay on response time and the effect of intranet application load on response time are similar, so that the response time is abnormal and is monitored; but the network delay is more stable to the interference of response time, which can lead the response time to be evenly increased along with the increase of the number of concurrent users; the intranet application load is relatively unstable to the interference of the response time, and the influence of the intranet application load on the response time is not determined by the number of concurrent users, but is determined by a CPU, a memory, a disk and the like, so that the influence caused by the intranet application is very unstable in the relative relation between the response time and the number of concurrent users. The degree of change in the response time data itself at each monitoring instant can be reflected by calculating the degree of response time instability at each monitoring instant, which is a possibility caused by excessive load on the intranet application.
1. And acquiring response time data and user number correlation of each monitoring moment.
For any one monitoring time, the ratio of the user number data and the response time data at the monitoring time to the change amount of the previous monitoring time is used to represent the change amount of the response time under the unit user number change amount, and the correlation between the user number data and the response time data at the two adjacent monitoring times is specifically reflected.
Specifically, the firstThe calculation expression of the correlation between the response time data of each monitoring moment and the number of users is as follows:
in the method, in the process of the invention,indicate->Response time data and user number correlation at each monitoring time; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->User number values at each monitoring time; />Indicate->User number values at each monitoring time; />The representation takes absolute value.
Thus, the response time data and the correlation of the number of users at each monitoring time are obtained.
2. And acquiring response time data and the overall real change quantity of the number of users at each monitoring moment.
When the average value of the relative relationship between the response time at all monitoring times and the change in the user number data is obtained, the greater the degree of change in the data per monitoring time, the greater the accuracy of the overall obtained average value, and therefore, it is necessary to introduce a weighting factor to perform a weight correction. The greater the degree of change of the response time data itself at the adjacent monitoring time, the greater the degree of change of the response time, and the greater the possibility of abnormality, so the lower the reliability as the reference data.
The response time data and the overall real change quantity of the number of users at each monitoring moment are represented by the average value of the product of the correlation of the response time data and the number of the users at each monitoring moment and the weighting factor at each monitoring moment; the real correlation relationship between the user number data and the response time data change at two adjacent monitoring moments is reflected.
Specifically, the firstThe calculation expression of the response time data of each monitoring moment and the overall real change quantity of the number of users is as follows:
in the method, in the process of the invention,indicate->Response time data of each monitoring moment and overall real variation of the number of users; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data and user number correlation at each monitoring time; />The representation takes absolute value; />Indicate->The weighting factors of the monitoring moments.
So far, response time data and the overall real change quantity of the number of users at each monitoring moment are obtained.
3. And acquiring the stability of the time variation degree influenced by the data of each monitoring moment.
The response time data and the correlation of the number of users at the current monitoring time are weighted and corrected by the weighting factor for each monitoring time, compared with the difference between the response time data and the correlation of the number of users at the previous monitoring times. The difference value obtained by directly performing the difference in the prior art has a certain contingency, and is specifically shown that a section of data with small variation degree possibly exists, and when the current monitoring moment is changed greatly, the representativeness of the difference value obtained by the variation is deteriorated. If the greater the stability of the degree of change of the data at the monitoring time with respect to time, the greater the degree of change of the data before the monitoring time, the greater the representativeness of the difference value calculated from the data changed at the monitoring time, the greater the degree of instability.
The stability of the time change degree is influenced by the data of each monitoring moment, the stability is influenced by the stability of the response time change of the data of the adjacent monitoring moment before the current monitoring moment, the stability rise and the stability fall of the response time change are reflected, and the stability of the response time change is influenced by the number of users, so that the unstable degree is influenced.
Specifically, for the firstMonitoring time according to->Response time data of all monitoring moments before the individual monitoring moment, build +.>The independent variables are monitoring moments, and the function values are response time data corresponding to each monitoring moment; will be->The number of extreme points of the response time data function curve at the individual monitoring instants is the +.>Response time data stabilization factors for each monitoring moment; then->The calculation expression of the stability of the data influence time variation degree of each monitoring moment is as follows:
in the method, in the process of the invention,indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data stabilization factors for each monitoring moment; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->The number of data points, i.e.)>Monitoring time corresponding to the data points; />The representation takes absolute value; />Representing a linear normalization function.
Thus, stability of the degree of time variation influenced by the data at each monitoring time is obtained.
4. And obtaining the response time instability degree of each monitoring moment.
It should be noted that, for any one monitoring time; the response time instability degree of the monitoring moment can be expressed by utilizing the stability of the data influence time variation degree of the monitoring moment to the response time data and the user number correlation of the monitoring moment and the response time data and the user number integral real variation difference value of the monitoring moment, and the larger the response time data and the user number correlation of the monitoring moment and the response time data and the user number integral real variation difference value of the monitoring moment are; the greater the degree of response time instability.
Specifically, according to the firstResponse time data of individual monitoring moments and overall real change of the number of users, th +.>Response time data and user number correlation and +.>The data at the individual monitoring moments influences the stability of the time-varying degree, and the +.>The calculation expression of the response time instability degree at each monitoring time is as follows:
in the method, in the process of the invention,indicate->The response time instability degree of each monitoring moment; />Indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data and user number correlation at each monitoring time;representing a linear normalization function.
The degree of instability of the response time at each monitoring time is obtained through the method.
The data monitoring result module 104 is configured to monitor an intranet application load at each monitoring time according to the response time instability degree at each monitoring time.
Presetting a threshold valueWherein the present embodiment is +.>Examples are described, the present embodiment is not particularly limited, wherein +.>Depending on the particular implementation.
Specifically, for any monitoring time, if the degree of instability of the response time of the monitoring time is greater than or equal to a preset threshold valueThe intranet application load condition at the monitoring moment is abnormal; if the degree of response time instability at the monitoring moment is less than a preset threshold +.>And if the intranet application load condition at the monitoring moment is not abnormal.
When the intranet application load condition is abnormal, code optimization, database query optimization, cache mechanism design, reasonable resource configuration and the like are required to be performed aiming at the application. Therefore, the execution efficiency of the application can be improved, and the throughput of the system can be improved. Meanwhile, the security protection of intranet applications can be enhanced, including timely repairing loopholes, setting access control, using security measures such as firewalls and the like, and the applications are protected from malicious attacks and data leakage. And finally, maintaining and updating the intranet application at regular intervals, including updating an operating system, upgrading a software version, optimizing a database and the like. This can fix possible vulnerabilities and errors and keep the application up-to-date and reliable.
This embodiment is completed.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An intranet application load on-line monitoring system is characterized by comprising the following modules:
the data acquisition module is used for acquiring response time data of a plurality of monitoring moments and user figures of each monitoring moment;
the data characteristic acquisition module is used for acquiring the change degree of the response time data per se of each monitoring moment according to the response time data of a plurality of monitoring moments;
the data characteristic analysis module is used for acquiring the response time data and the correlation of the number of users at each monitoring moment according to the response time data at each monitoring moment and the number of users at each monitoring moment; acquiring a weighting factor of each monitoring moment according to the change degree of the response time data of each monitoring moment; acquiring response time data of each monitoring moment and the overall real variation of the number of users according to the weighting factors of each monitoring moment and the correlation of the response time data of each monitoring moment and the number of users; acquiring a response time data function curve of each monitoring moment; acquiring a response time data stability factor of each monitoring moment according to the response time data function curve of each monitoring moment; acquiring stability of the data influence time change degree of each monitoring moment according to the response time data stability factor of each monitoring moment; acquiring the unstable degree of the response time of each monitoring moment according to the response time data of each monitoring moment, the integral real variation of the number of users, the correlation of the response time data of each monitoring moment and the number of users and the stability of the influence time variation degree of the data of each monitoring moment;
and the data monitoring result module is used for monitoring the intranet application load at each monitoring moment according to the response time instability degree at each monitoring moment.
2. The online monitoring system for intranet application load according to claim 1, wherein the specific formula for obtaining the change degree of the response time data of each monitoring moment according to the response time data of a plurality of monitoring moments is as follows:
；
in the method, in the process of the invention,indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />The total number of response time data representing all monitoring moments; />The representation takes absolute value.
3. The online monitoring system of intranet application load according to claim 1, wherein the specific formula for obtaining the correlation between the response time data and the number of users at each monitoring time according to the response time data at each monitoring time and the number of users at each monitoring time is:
；
in the method, in the process of the invention,indicate->Response time data and user number correlation at each monitoring time; />Indicate->Response time data for each monitoring instant; />Indicate->Response time data for each monitoring instant; />Indicate->User number values at each monitoring time; />Indicate->User number values at each monitoring time; />The representation takes absolute value.
4. The online monitoring system for intranet application load according to claim 1, wherein the weighting factor of each monitoring moment is obtained according to the change degree of the response time data of each monitoring moment, and the specific method comprises the following steps:
will be the firstReciprocal and +.sup.th of the degree of change of the response time data itself at the monitoring instant>The sum of the inverse of the degree of change of the response time data itself at the individual monitoring instants is taken as +.>The weighting factors of the monitoring moments.
5. The online monitoring system of intranet application load according to claim 1, wherein the specific formula for obtaining the response time data and the overall real change of the number of users at each monitoring time according to the weighting factor at each monitoring time and the correlation between the response time data and the number of users at each monitoring time is as follows:
；
in the method, in the process of the invention,indicate->Response time data of each monitoring moment and overall real variation of the number of users; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->The degree of change of the response time data per se at each monitoring instant; />Indicate->Response time data and user number correlation at each monitoring time; />The representation takes absolute value; />Indicate->The weighting factors of the monitoring moments.
6. The online monitoring system for intranet application load according to claim 1, wherein the obtaining the response time data function curve at each monitoring moment comprises the following specific steps:
for the firstMonitoring time according to->Response time data of all monitoring moments before the individual monitoring moment, build +.>The independent variables are monitoring moments, and the function values are response time data corresponding to each monitoring moment; and similarly, acquiring a response time data function curve of each monitoring moment.
7. The online monitoring system for intranet application load according to claim 1, wherein the method for obtaining the response time data stability factor of each monitoring moment according to the response time data function curve of each monitoring moment comprises the following specific steps:
will be the firstThe number of extreme points of the response time data function curve at the individual monitoring instants is the +.>Response time data stabilization factors for each monitoring moment; and similarly, acquiring a response time data stability factor of each monitoring moment.
8. The online monitoring system for intranet application load according to claim 7, wherein the specific formula for obtaining the stability of the time variation degree of the data influence at each monitoring moment according to the response time data stability factor at each monitoring moment is:
；
in the method, in the process of the invention,indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data stabilization factors for each monitoring moment; />Indicate->Total number of all monitoring moments before each monitoring moment; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->The first part of the monitoring time response time data function curve>Slope of data points; />Indicate->A sequence number of the data point; />The representation takes absolute value; />Representing a linear normalization function.
9. The online monitoring system of intranet application load according to claim 1, wherein the specific formula for obtaining the unstable response time degree of each monitoring time according to the response time data and the overall real change amount of the number of users at each monitoring time, the correlation of the response time data and the number of users at each monitoring time and the stability of the time change degree affected by the data at each monitoring time is as follows:
；
in the method, in the process of the invention,indicate->The response time instability degree of each monitoring moment; />Indicate->The data of each monitoring moment influences the stability of the time variation degree; />Indicate->Response time data and user number correlation at each monitoring time; />Representing a linear normalization function.
10. The online monitoring system for intranet application load according to claim 1, wherein the monitoring of intranet application load at each monitoring time according to the degree of instability of response time at each monitoring time comprises the following specific steps:
for any monitoring time, if the degree of instability of the response time of the monitoring time is greater than or equal to a preset threshold valueThe intranet application load condition at the monitoring moment is abnormal; if the degree of response time instability at the monitoring moment is less than a preset threshold +.>And if the intranet application load condition at the monitoring moment is not abnormal.
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